Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

Here's a Python program that connects to the SQLite database, queries the data, and prints out the favorite friend of the youngest person who isn't anyone's favorite friend: 

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import sqlite3

def get_youngest_non_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
        else:
            print("No result found.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_non_favorite_friend()
This program does the following: 1. We import the `sqlite3` module to work with SQLite databases. 2. We define a function `get_youngest_non_favorite_friend()` that contains our main logic. 3. Inside the function, we establish a connection to the 'people.db' database. 4. We create a SQL query that: - Selects from the 'people' table - Excludes people who are someone's favorite friend - Orders the results by age in ascending order - Limits the result to 1 (the youngest person) 5. We execute the query and fetch the result. 6. If a result is found, we print the favorite friend of that person. If not, we print a message saying no result was found. 7. We use a try-except block to handle any SQLite errors that might occur. 8. Finally, we close the database connection. 9. The `if __name__ == "__main__":` block ensures that the function is called when the script is run directly. To use this program, make sure your 'people.db' file is in the same directory as your Python script, then run the script. It will connect to the database, perform the query, and print the result.

Extract Code

I extracted the following code from that output: 

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import sqlite3

def get_youngest_non_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
        else:
            print("No result found.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_non_favorite_friend()

Run Code Interpreter

Running the following program: 

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import sqlite3

def get_youngest_non_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
        else:
            print("No result found.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_non_favorite_friend()
And got the output: The favorite friend of the youngest person who isn't anyone's favorite friend is: Grace

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

Certainly! Here's a Python program that connects to your SQLite database, queries the data, and prints out the favorite friend of the youngest person who isn't anyone's favorite friend: 

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import sqlite3

def get_youngest_unfavorited_person_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"(This person is {name}, aged {age})")
        else:
            print("No person found matching the criteria.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_unfavorited_person_friend()
This program does the following: 1. We import the `sqlite3` module to interact with the SQLite database. 2. We define a function `get_youngest_unfavorited_person_friend()` that handles the database connection and query execution. 3. Inside the function: - We connect to the 'people.db' database. - We create a SQL query that: - Selects people who are not in the list of favorite friends. - Orders them by age in ascending order. - Limits the result to 1 (the youngest). - We execute the query and fetch the result. - If a result is found, we print the favorite friend of this person, along with the person's name and age. - If no result is found, we print a message saying no person matches the criteria. 4. We use a try-except block to handle potential SQLite errors. 5. We ensure the database connection is closed in the `finally` block. 6. The `if __name__ == "__main__":` block ensures the function is called when the script is run directly. To use this program: 1. Save it as a .py file (e.g., `find_youngest_unfavorited.py`). 2. Make sure your 'people.db' file is in the same directory as this Python script. 3. Run the script from the command line: `python find_youngest_unfavorited.py` This will print out the favorite friend of the youngest person who isn't anyone's favorite friend, along with some additional information about that person.

Extract Code

I extracted the following code from that output: 

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import sqlite3

def get_youngest_unfavorited_person_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"(This person is {name}, aged {age})")
        else:
            print("No person found matching the criteria.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_unfavorited_person_friend()

Run Code Interpreter

Running the following program: 

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import sqlite3

def get_youngest_unfavorited_person_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"(This person is {name}, aged {age})")
        else:
            print("No person found matching the criteria.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_unfavorited_person_friend()
And got the output: The favorite friend of the youngest person who isn't anyone's favorite friend is: Grace (This person is Judy, aged 27)

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

Certainly! Here's a Python program that connects to the SQLite database, queries the data, and prints out the favorite friend of the youngest person who isn't anyone's favorite friend: 

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import sqlite3

def get_youngest_non_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"This person's name is {name} and they are {age} years old.")
        else:
            print("No such person found in the database.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_non_favorite_friend()
This program does the following: 1. We import the `sqlite3` module to work with the SQLite database. 2. We define a function `get_youngest_non_favorite_friend()` that contains the main logic. 3. Inside the function, we establish a connection to the 'people.db' database. 4. We create a SQL query that: - Selects name, favorite_friend, and age from the people table - Excludes people who are someone's favorite friend - Orders the results by age in ascending order - Limits the result to 1 (the youngest person) 5. We execute the query and fetch the result. 6. If a result is found, we print the favorite friend of this person, along with the person's name and age. 7. If no result is found, we print a message saying no such person was found. 8. We handle any SQLite errors that might occur. 9. Finally, we close the database connection. 10. The `if __name__ == "__main__":` block ensures that the function is called when the script is run directly. To use this program, make sure your SQLite database file 'people.db' is in the same directory as this Python script, then run the script. It will connect to the database, perform the query, and print the result.

Extract Code

I extracted the following code from that output: 

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import sqlite3

def get_youngest_non_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"This person's name is {name} and they are {age} years old.")
        else:
            print("No such person found in the database.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_non_favorite_friend()

Run Code Interpreter

Running the following program: 

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import sqlite3

def get_youngest_non_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"This person's name is {name} and they are {age} years old.")
        else:
            print("No such person found in the database.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_youngest_non_favorite_friend()
And got the output: The favorite friend of the youngest person who isn't anyone's favorite friend is: Grace This person's name is Judy and they are 27 years old.

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

Certainly! Here's a Python program that connects to your SQLite database, queries the data, and prints out the favorite friend of the youngest person who isn't anyone's favorite friend: 

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import sqlite3

def get_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person ({name}, age {age}) who isn't anyone's favorite friend is: {favorite_friend}")
        else:
            print("No person found matching the criteria.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_favorite_friend()
This program does the following: 1. We import the `sqlite3` module to interact with the SQLite database. 2. We define a function `get_favorite_friend()` that contains the main logic. 3. Inside the function, we establish a connection to the 'people.db' database. 4. We create a SQL query that: - Selects the name, favorite_friend, and age from the 'people' table. - Filters out people who are someone's favorite friend. - Orders the results by age in ascending order. - Limits the result to 1 (the youngest person). 5. We execute the query and fetch the result. 6. If a result is found, we print the favorite friend of the youngest person who isn't anyone's favorite friend. 7. If no result is found, we print a message indicating that. 8. We handle any SQLite errors that might occur. 9. Finally, we close the database connection. 10. The `if __name__ == "__main__":` block ensures that the function is called when the script is run directly. To use this program, make sure your 'people.db' file is in the same directory as this Python script, then run the script. It will connect to the database, perform the query, and print out the result.

Extract Code

I extracted the following code from that output: 

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import sqlite3

def get_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person ({name}, age {age}) who isn't anyone's favorite friend is: {favorite_friend}")
        else:
            print("No person found matching the criteria.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_favorite_friend()

Run Code Interpreter

Running the following program: 

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import sqlite3

def get_favorite_friend():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person ({name}, age {age}) who isn't anyone's favorite friend is: {favorite_friend}")
        else:
            print("No person found matching the criteria.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

if __name__ == "__main__":
    get_favorite_friend()
And got the output: The favorite friend of the youngest person (Judy, age 27) who isn't anyone's favorite friend is: Grace

Substring Evaluation

Testing if the previous output contains the string Grace: True

Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

LLM Generation

Query

I have a sqlite3 database name TEXT, favorite_friend TEXT, age INT, profession TEXT. Write me a python program that prints out the favorite friend of the youngest person who isn't anyone's favorite friend. The database is called people.db and the table is called people.

Output

Certainly! Here's a Python program that connects to the SQLite database, queries the data, and prints out the favorite friend of the youngest person who isn't anyone's favorite friend: 

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import sqlite3

def get_favorite_friend_of_youngest_non_favorite():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"This person is {name}, aged {age}")
        else:
            print("No such person found in the database.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

# Run the function
if __name__ == "__main__":
    get_favorite_friend_of_youngest_non_favorite()
This program does the following: 1. We import the `sqlite3` module to work with the SQLite database. 2. We define a function `get_favorite_friend_of_youngest_non_favorite()` that contains the main logic. 3. Inside the function, we connect to the 'people.db' database. 4. We create a SQL query that: - Selects people who are not in the list of favorite friends - Orders them by age in ascending order - Limits the result to 1 (the youngest) 5. We execute the query and fetch the result. 6. If a result is found, we print the favorite friend of this person, along with the person's name and age. 7. If no result is found, we print a message indicating that. 8. We handle any SQLite errors that might occur. 9. Finally, we close the database connection. 10. The `if __name__ == "__main__":` block ensures that the function is called when the script is run directly. To use this program, make sure you have the 'people.db' file in the same directory as your Python script, then run the script. It will connect to the database, perform the query, and print the result.

Extract Code

I extracted the following code from that output: 

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import sqlite3

def get_favorite_friend_of_youngest_non_favorite():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"This person is {name}, aged {age}")
        else:
            print("No such person found in the database.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

# Run the function
if __name__ == "__main__":
    get_favorite_friend_of_youngest_non_favorite()

Run Code Interpreter

Running the following program: 

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import sqlite3

def get_favorite_friend_of_youngest_non_favorite():
    # Connect to the SQLite database
    conn = sqlite3.connect('people.db')
    cursor = conn.cursor()

    try:
        # Query to find the youngest person who isn't anyone's favorite friend
        query = """
        SELECT name, favorite_friend, age
        FROM people
        WHERE name NOT IN (SELECT DISTINCT favorite_friend FROM people WHERE favorite_friend IS NOT NULL)
        ORDER BY age ASC
        LIMIT 1
        """
        
        cursor.execute(query)
        result = cursor.fetchone()

        if result:
            name, favorite_friend, age = result
            print(f"The favorite friend of the youngest person who isn't anyone's favorite friend is: {favorite_friend}")
            print(f"This person is {name}, aged {age}")
        else:
            print("No such person found in the database.")

    except sqlite3.Error as e:
        print(f"An error occurred: {e}")

    finally:
        # Close the database connection
        conn.close()

# Run the function
if __name__ == "__main__":
    get_favorite_friend_of_youngest_non_favorite()
And got the output: The favorite friend of the youngest person who isn't anyone's favorite friend is: Grace This person is Judy, aged 27

Substring Evaluation

Testing if the previous output contains the string Grace: True